Sciweavers

1072 search results - page 42 / 215
» Two approaches to the integration of heterogeneous data ware...
Sort
View
IJKDB
2010
170views more  IJKDB 2010»
13 years 6 months ago
Clustering Genes Using Heterogeneous Data Sources
Clustering of gene expression data is a standard exploratory technique used to identify closely related genes. Many other sources of data are also likely to be of great assistance...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
14 years 6 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
DASFAA
2008
IEEE
118views Database» more  DASFAA 2008»
14 years 3 months ago
RAIN: Always on Data Warehousing
Abstract. The Redundant Arrays of Inexpensive DWS Nodes (RAIN) technique is a node-level data replication approach that introduces failover capabilities to DWS (Data Warehouse Stri...
Jorge Vieira, Marco Vieira, Marco Costa, Henrique ...
HOLOMAS
2003
Springer
14 years 2 months ago
Complex Data Integration Based on a Multi-agent System
The expansion of the WWW and the growth of data sources lead to the proliferation of heterogeneous data (texts, images, videos, sounds and relational views). We call these data ”...
Omar Boussaid, Fadila Bentayeb, Amandine Duffoux, ...
ICDCSW
2006
IEEE
14 years 2 months ago
Semantic Data Extraction for B2B Integration
Business-to-business (B2B) data exchange and integration is a common daily operation in today’s organizations. These operations are crucial since they affect organizations’ ca...
Bruno Silva, Jorge Cardoso